文章基本信息

标题：Investigation on Sharing Signatures of Suspected Malware Files Using Blockchain Technology
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作者：Ryusei Fuji ; Shotaro Usuzaki ; Kentaro Aburada 等
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2239
页码：94-99
出版社：Newswood and International Association of Engineers
摘要：In recent years, the amount of new malware has been rapidly increasing. Because malware has an adverse effect on the Internet, upon which modern society is increasingly dependent, its detection is very important. In addition, blockchain technology has attracted the attention of many people in recent years due to its four main characteristics of decentralization, persistency, anonymity, and auditability. In this paper, we propose a system for sharing the signatures of suspected malware files using blockchain technology. The proposed system can share the signatures of suspected files between users, allowing them to rapidly respond to increasing malware threats. Further, it improves the accuracy of detection and removal of malware by utilizing signatures recorded by the blockchain. In the evaluation experiment, we created a prototype of the proposed system and investigated its effect on the accuracy of detection and removal of malware. Compared with heuristic methods or behavior-based methods only, the proposed system which uses these methods plus signature-based method using shared signatures on the blockchain improved the false negative rate by about 4% and the false positive rate by about 2.5%.
关键词：malware detection; blockchain technology; Ethereum; smart contract